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Computer Science

D-Index
42
Citations
9272
World Ranking
8264
National Ranking
115

Overview

Arnau Oliver is affiliated with the University of Girona in Spain and has contributed extensively to research at the intersection of medicine and computer science. Their work focuses primarily on medical imaging applications related to neurological conditions and image segmentation techniques.

The researcher's publications highlight their involvement in advancing imaging-based diagnostics and analysis, particularly through the application of deep learning and other computational methods. Recent papers include:

  • Improving the detection of autism spectrum disorder by combining structural and functional MRI information (2020, NeuroImage Clinical)
  • Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks (2021, Computerized Medical Imaging and Graphics)
  • QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results (2022, The Journal of Machine Learning for Biomedical Imaging)
  • Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI (2023, NeuroImage Clinical)
  • Improving the detection of new lesions in multiple sclerosis with a cascaded 3D fully convolutional neural network approach (2022, Frontiers in Neuroscience)

Arnau Oliver collaborates frequently with colleagues such as Xavier Lladó, Albert Clèrigues, Sergi Valverde, Àlex Rovira, and Joaquím Salví. These partnerships span across various research outputs and contribute to the development of computational methods for medical image analysis.

Their work appears regularly in publication venues including:

  • Computerized Medical Imaging and Graphics (4 publications)
  • NeuroImage Clinical (3 publications)
  • Frontiers in Neuroscience (3 publications)
  • Journal of Magnetic Resonance Imaging (2 publications)
  • arXiv (Cornell University) (2 publications)

Arnau Oliver's expertise covers several main fields of study:

  • Medicine
  • Computer Science

More specific subfields within these domains include:

  • Neurology
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Epidemiology
  • Pathology and Forensic Medicine

Their main research topics focus on:

  • Brain Tumor Detection and Classification
  • Acute Ischemic Stroke Management
  • Medical Image Segmentation Techniques
  • Multiple Sclerosis Research Studies
  • Advanced Neuroimaging Techniques and Applications
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Cell Image Analysis Techniques

Best Publications

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review.

    Jose Bernal;Kaisar Kushibar;Daniel S. Asfaw;Sergi Valverde

  • A review of atlas-based segmentation for magnetic resonance brain images

    Mariano Cabezas;Arnau Oliver;Xavier Lladó;Jordi Freixenet

  • A review of automatic mass detection and segmentation in mammographic images.

    Arnau Oliver;Jordi Freixenet;Joan Martí;Elsa Pérez

  • Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach.

    Sergi Valverde;Mariano Cabezas;Eloy Roura;Sandra González-Villà

  • A Novel Breast Tissue Density Classification Methodology

    A. Oliver;J. Freixenet;R. Marti;J. Pont

  • Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches

    Xavier Lladó;Arnau Oliver;Mariano Cabezas;Jordi Freixenet

  • A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images

    Soumya Ghose;Arnau Oliver;Robert Martí;Xavier Lladó

  • Breast segmentation with pectoral muscle suppression on digital mammograms

    David Raba;Arnau Oliver;Joan Martí;Marta Peracaula

  • One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks

    Sergi Valverde;Mostafa Salem;Mariano Cabezas;Deborah Pareto

  • False positive reduction in mammographic mass detection using local binary patterns

    Arnau Oliver;Xavier Lladó;Jordi Freixenet;Joan Martí

  • A review on brain structures segmentation in magnetic resonance imaging

    Sandra Gonzlez-Vill;Arnau Oliver;Sergi Valverde;Liping Wang

  • Automatic microcalcification and cluster detection for digital and digitised mammograms

    Arnau Oliver;Albert Torrent;Xavier Lladó;Meritxell Tortajada

  • Improving the detection of autism spectrum disorder by combining structural and functional MRI information

    Mladen Rakić;Mariano Cabezas;Kaisar Kushibar;Arnau Oliver

  • Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.

    Kaisar Kushibar;Sergi Valverde;Sandra González-Villà;Jose Bernal

  • Modeling and Classifying Breast Tissue Density in Mammograms

    A. Bosch;X. Munoz;A. Oliver;J. Marti

  • A textural approach for mass false positive reduction in mammography.

    Xavier Lladó;Arnau Oliver;Jordi Freixenet;Robert Marti

  • A toolbox for multiple sclerosis lesion segmentation

    Eloy Roura;Arnau Oliver;Mariano Cabezas;Sergi Valverde

  • Automated detection of multiple sclerosis lesions in serial brain MRI

    Xavier Lladó;Onur Ganiler;Arnau Oliver;Robert Martí

  • Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks.

    Albert Clèrigues;Sergi Valverde;Jose Bernal;Jordi Freixenet

  • Comparison of 10 brain tissue segmentation methods using revisited IBSR annotations

    Sergi Valverde;Arnau Oliver;Mariano Cabezas;Eloy Roura

  • Topological Modeling and Classification of Mammographic Microcalcification Clusters

    Zhili Chen;Harry Strange;Arnau Oliver;Erika R. E. Denton

Frequent Co-Authors

Xavier Lladó
Xavier Lladó University of Girona
Jordi Freixenet
Jordi Freixenet University of Girona
Fabrice Meriaudeau
Fabrice Meriaudeau University of Franche-Comté
Joaquim Salvi
Joaquim Salvi University of Girona
Yuankai Huo
Yuankai Huo Vanderbilt University
Bennett A. Landman
Bennett A. Landman Vanderbilt University
Arlindo L. Oliveira
Arlindo L. Oliveira University of Lisbon
Tom Vercauteren
Tom Vercauteren King's College London
Pietro Liò
Pietro Liò University of Cambridge

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